GB2599827A - Well operation evaluation systems and methods to analyze a broomstick chart of a well operation - Google Patents

Well operation evaluation systems and methods to analyze a broomstick chart of a well operation Download PDF

Info

Publication number
GB2599827A
GB2599827A GB2119010.3A GB202119010A GB2599827A GB 2599827 A GB2599827 A GB 2599827A GB 202119010 A GB202119010 A GB 202119010A GB 2599827 A GB2599827 A GB 2599827A
Authority
GB
United Kingdom
Prior art keywords
well operation
issue
wellbore
determining
computer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
GB2119010.3A
Other versions
GB202119010D0 (en
GB2599827B (en
Inventor
Samuel Robello
Adari Rishi
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Landmark Graphics Corp
Original Assignee
Landmark Graphics Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Landmark Graphics Corp filed Critical Landmark Graphics Corp
Publication of GB202119010D0 publication Critical patent/GB202119010D0/en
Publication of GB2599827A publication Critical patent/GB2599827A/en
Application granted granted Critical
Publication of GB2599827B publication Critical patent/GB2599827B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining

Abstract

The disclosed embodiments include well operation evaluation systems and methods to analyze a broomstick chart of a well operation. The method includes receiving data indicative of a broomstick chart of a well operation. The method also includes diagnosing an issue during the well operation based on the broomstick chart. The method further includes predicting an impact on the well operation as a result of the issue. The method further includes determining a likelihood of occurrence of the impact. The method further includes determining a solution to overcome the issue.

Claims (20)

What is claimed is:
1. A computer-implemented method to analyze a broomstick chart of a well operation, the method comprising: receiving data indicative of a broomstick chart of a well operation; diagnosing an issue during the well operation based on the broomstick chart; predicting an impact on the well operation as a result of the issue; determining a likelihood of occurrence of the impact; and determining a solution to overcome the issue.
2. The computer-implemented method of claim 1, further comprising providing the solution to an electronic device of an operator operable to make one or more adjustments to the well operation to overcome the issue.
3. The computer-implemented method of claim 1, further comprising providing the solution to an electronic device operable to dynamically make one or more adjustments to the well operation to overcome the issue.
4. The computer-implemented method of claim 1, further comprising dynamically performing one or more adjustments to the well operation in response to determining the solution to overcome the issue.
5. The computer-implemented method of claim 4, wherein dynamically performing the one or more adjustments comprises dynamically performing the one or more adjustments in response to determining that the likelihood of occurrence is greater than a threshold.
6. The computer-implemented method of claim 1, wherein determining the solution comprises determining the solution based on the issue and the likelihood of the occurrence of the issue.
7. The computer-implemented method of claim 1, wherein diagnosing the issue of the operation, predicting the impact on the well operation, determining the likelihood of occurrence of the impact, and determining the solution to overcome the issue are performed by a neural network.
8. The computer-implemented method of claim 1, further comprising: determining an expected value of a parameter of the well operation; and determining an actual value of the parameter of the well operation, wherein diagnosing the issue during the well operation is based on a difference between the excepted value of the parameter and the actual value of the parameter.
9. The computer-implemented method of claim 8, wherein the parameter of the well operation is a frictional force associated with the well operation.
10. The computer-implemented method of claim 1, wherein the well operation comprises one of a rotating-off-bottom operation, a rotating-on-bottom operation, a tripping-in operation, a tripping-out operation, a sliding operation, and a backreaming operation.
11. The computer-implemented method of claim 1, further comprising determining one or more of a type of mud used for the well operation, a type of lubricity used for the well operation, presence of a cuttings bed in a wellbore associated with the well operation, presence of a pack-off, a dogleg in the wellbore, a keyseat in the wellbore, a degree of curvature of the wellbore, a wellbore tortuosity of the wellbore, a viscous effect of the wellbore, a diameter of the wellbore, and an asperity between a conveyance used in the well operation and the wellbore, wherein determining the likelihood of occurrence of the impact comprises determining the likelihood of occurrence of the impact based on at least one of the type of lubricity used for the well operation, presence of the cuttings bed in the wellbore, presence of the pack-off, the dogleg in the wellbore, the keyseat in the wellbore, the degree of curvature of the wellbore, the wellbore tortuosity of the wellbore, the viscous effect of the wellbore, the diameter of the wellbore, and the asperity between the conveyance used in the well operation and the wellbore.
12. The computer-implemented method of claim 1, wherein the issue during the well operation comprises at least one of a stuck pipe during the well operation, a near-stuck pipe during the well operation, a pack-off having a threshold greater than a pack-off threshold, a loss of circulation that is greater than a circulation threshold, a conveyance deployed during the well operation having a torque that is greater than a threshold torque, a conveyance used during the well operation having a drag response that is greater than a threshold drag response, and a cutting bed having a height that is greater than a height threshold.
13. The computer-implemented method of claim 1, further comprising generating a threshold number of iterations of an uncertainty model of the well operation, wherein the likelihood of occurrence of the impact is based on a distribution of the threshold number of iterations of the uncertainty model.
14. The computer-implemented method of claim 1, further comprising: generating one or more engineering models of the well operation, wherein diagnosing the issue comprises diagnosing the issue based on results of the one or more engineering models.
15. The computer-implemented method of claim 14, wherein the one or more engineering models comprise a stiff string model of a conveyance deployed during the well operation, a model of one or more wellbore doglegs of a wellbore associated with the well operation, and a wellbore clearance model, a hole cleaning model, and a cuttings pack-off model.
16. A well operation evaluation system, the system comprising: a storage system; and one or more processors operable to: receive data indicative of a broomstick chart of a well operation; diagnose an issue during the well operation based on the broomstick chart; predict an impact on the well operation as a result of the issue; determine a likelihood of occurrence of the impact; determine a solution to overcome the issue; and provide the solution to overcome the issue.
17. The well operation evaluation system of claim 16, wherein the well operation comprises one of a rotating-off-bottom operation, a rotating-on-bottom operation, a tripping-in operation, a tripping-out operation, a sliding operation, and a backreaming operation.
18. The well operation evaluation system of claim 16, wherein the one or more processors are operable to dynamically perform one or more adjustments to the well operation in response to a determination of the solution to overcome the issue.
19. A non-transitory machine-readable medium comprising instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving data indicative of a broomstick chart of a well operation; diagnosing an issue during the well operation based on the broomstick chart; predicting an impact on the well operation as a result of the issue; determining a likelihood of occurrence of the impact; determining a solution to overcome the issue; and providing the solution to overcome the issue.
20. The non-transitory machine-readable medium of claim 19, wherein the instructions when executed by one or more processors, cause the one or more processors to perform operations comprising: determining an expected value of a parameter of the well operation; and determining an actual value of the parameter of the well operation, wherein diagnosing the issue during the well operation is based on a difference between the excepted value of the parameter and the actual value of the parameter.
GB2119010.3A 2019-08-23 2019-08-23 Well operation evaluation systems and methods to analyze a broomstick chart of a well operation Active GB2599827B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2019/048000 WO2021040680A1 (en) 2019-08-23 2019-08-23 Well operation evaluation systems and methods to analyze a broomstick chart of a well operation

Publications (3)

Publication Number Publication Date
GB202119010D0 GB202119010D0 (en) 2022-02-09
GB2599827A true GB2599827A (en) 2022-04-13
GB2599827B GB2599827B (en) 2023-08-09

Family

ID=74684640

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2119010.3A Active GB2599827B (en) 2019-08-23 2019-08-23 Well operation evaluation systems and methods to analyze a broomstick chart of a well operation

Country Status (4)

Country Link
US (1) US20220251927A1 (en)
GB (1) GB2599827B (en)
NO (1) NO20211423A1 (en)
WO (1) WO2021040680A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11859485B1 (en) 2022-08-16 2024-01-02 Landmark Graphics Corporation Trip map for adjusting a tripping operation in a wellbore

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080065362A1 (en) * 2006-09-08 2008-03-13 Lee Jim H Well completion modeling and management of well completion
WO2016182799A1 (en) * 2015-05-08 2016-11-17 Schlumberger Technology Corporation Real time drilling monitoring
WO2017160993A1 (en) * 2016-03-18 2017-09-21 National Oilwell Varco, L.P. System and method for drilling a wellbore using pattern detection
WO2018029454A1 (en) * 2016-08-08 2018-02-15 Datacloud International Inc. Method and system for analysing drilling data
US20180171774A1 (en) * 2016-12-21 2018-06-21 Schlumberger Technology Corporation Drillstring sticking management framework

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10400570B2 (en) * 2013-11-13 2019-09-03 Schlumberger Technology Corporation Automatic wellbore condition indicator and manager
US10920551B2 (en) * 2014-12-17 2021-02-16 Halliburton Energy Services, Inc. Geomechanical model of stresses on an orthorhombic media
WO2021034337A1 (en) * 2019-08-21 2021-02-25 Landmark Graphics Corporation Conveyance deployment systems and methods to deploy conveyances

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080065362A1 (en) * 2006-09-08 2008-03-13 Lee Jim H Well completion modeling and management of well completion
WO2016182799A1 (en) * 2015-05-08 2016-11-17 Schlumberger Technology Corporation Real time drilling monitoring
WO2017160993A1 (en) * 2016-03-18 2017-09-21 National Oilwell Varco, L.P. System and method for drilling a wellbore using pattern detection
WO2018029454A1 (en) * 2016-08-08 2018-02-15 Datacloud International Inc. Method and system for analysing drilling data
US20180171774A1 (en) * 2016-12-21 2018-06-21 Schlumberger Technology Corporation Drillstring sticking management framework

Also Published As

Publication number Publication date
NO20211423A1 (en) 2021-11-23
GB202119010D0 (en) 2022-02-09
US20220251927A1 (en) 2022-08-11
GB2599827B (en) 2023-08-09
WO2021040680A1 (en) 2021-03-04

Similar Documents

Publication Publication Date Title
US9482084B2 (en) Drilling advisory systems and methods to filter data
US10657441B2 (en) Model generation for real-time rate of penetration prediction
US9436173B2 (en) Drilling advisory systems and methods with combined global search and local search methods
US9569521B2 (en) System and method for analyzing and validating oil and gas well production data
US11199083B2 (en) Method and apparatus to predict casing wear for well systems
AU2013393827B2 (en) Wellbore component life monitoring system
AU2014374464B2 (en) Method and apparatus for casing thickness estimation
US10352148B2 (en) Estimating casing wear using models incorporating bending stiffness
WO2016135145A1 (en) Systems and methods for determining and/or using estimate of drilling efficiency
GB2599827A (en) Well operation evaluation systems and methods to analyze a broomstick chart of a well operation
US11078760B2 (en) Determination of wellbore condition
WO2016179767A1 (en) Fatigue analysis procedure for drill string
AU2016323028B2 (en) Solution dependent output time marks for models of dynamic systems
NO20231246A1 (en) Calculating pull for a stuck drill string
Carpenter Stuck-pipe prediction with automated real-time modeling and data analysis
WO2022186893A1 (en) Drill bit wear and behavior analysis and correlation
US11060390B2 (en) Mitigation of frictional heat checking in well casing
WO2015198137A2 (en) Improving drilling operations using disparate well data types
US20230036144A1 (en) Well tubing/casing corrosion deposits descaling model
WO2021035472A1 (en) Mechanical and hydromechanical specific energy-based drilling
Karlsen et al. Live Pressure Control Risk Analysis for Drilling Through Multiple Reservoirs